The Git project has officially released Git 2.55, bringing a wide range of improvements focused on performance, developer ...

"When AI produces insights that you have to manually verify before being able to trust them, you've done the polar opposite ...

During the pilot phase, users can leverage private cloud services, AI coding tools, open data, and OpenAPIs. In the meantime, ...

AI agents waste massive cloud space, so block this bloat early with strict policy checks, illustrated using Terraform and ...

Trust is the biggest barrier to AI adoption, says AI chief, claiming that new features in Bedrock AgentCore will prevent bad outcomes ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

There aren't many true Canva alternatives ...

Developer productivity has become one of the hardest topics for engineering leaders to measure well. The old signals are no longer enough. Commit volume, ticket counts, pull request totals, and lines ...

Spread the love“`html The technological landscape is rapidly shifting, and the future of artificial intelligence (AI) is at the forefront of this evolution. The Open Source AI Fellowship 2026, ...

Engineering teams do not lose most of their time on typing code. They lose it on handoffs, status changes, missing context, waiting for review, failed builds, repeated triage, manual ticket updates, ...

Chinese tech company Meituan has released LongCat-2.0 as a public coding model, putting the project in developer channels while the full model-file release remains pending. For developers, the move ...

Both GitLab and MongoDB saw robust revenue growth in 2026, but their paths to profitability and risk profiles reveal key ...